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DECISION GUIDANCE METHODOLOGY FOR SUSTAINABLE MANUFACTURING USING PROCESS ANALYTICS FORMALISM

Published

Author(s)

Guodong Shao, Alexander Brodsky, Seungjun Shin, Duck B. Kim

Abstract

Sustainable manufacturing has significant impact on a company’s business performance and competitiveness in today’s world. A growing number of manufacturing industries are initiating efforts to address sustainability issues; however, to achieve a higher level of sustainability, manufacturers need methodologies for formally describing, analyzing, evaluating, and optimizing sustainability performance metrics for manufacturing processes and systems. Currently, such methodologies are missing. This paper introduces a systematic decision-guidance methodology that uses the Sustainable Process Analytics Formalism (SPAF) developed at the National Institute of Standards and Technology (NIST). The methodology provides step-by-step guidance for users to perform sustainability performance analysis using SPAF, which supports data querying, what-if analysis, and decision optimization for sustainability metrics. Users use data from production, energy management, and a life cycle assessment reference database for modeling and analysis. As an example, a case study of investment planning for energy management systems has been performed to demonstrate the use of the methodology.
Citation
Journal of Intelligent Manufacturing

Keywords

Decision guidance, sustainable manufacturing, energy management, optimization, process analytics

Citation

Shao, G. , Brodsky, A. , Shin, S. and Kim, D. (2014), DECISION GUIDANCE METHODOLOGY FOR SUSTAINABLE MANUFACTURING USING PROCESS ANALYTICS FORMALISM, Journal of Intelligent Manufacturing (Accessed February 28, 2024)
Created November 25, 2014, Updated February 19, 2017